Biography
Hello👋! This is Wenjie Wei🙎♀️. I am currently pursuing🏃♀️ a Ph.D. in the University of Electronic Science and Technology of China🏫, under the supervision of Prof. Malu Zhang🧑🏫. Prior to this, I obtained my Bachelor’s degree👩🎓 from Zhengzhou University🏫 in 2021. My research interests broadly include 🧠neuromorphic computing💻 and 🤏efficient deep learning🤖.
Research Interests 🥰
- 📔 Neuromorphic Computing: Spiking Neural Networks, Brain-inspired Neural Architecture Design, etc.
- 📔 Efficient Deep Learning: Network Binarization, Quantization, Pruning, etc.
News 😄/😩
2025.01: 🎉🎉Two papers are accepted by ICLR 2025.
2024.12: 🎉🎉One paper is accepted by ICASSP 2025.
2024.12: 🎉🎉One paper is accepted by AAAI 2025 (oral).
2024.12: 🎉🎉Created my own personal homepage.
2024.12: 🎉🎉One paper is accepted by ICASSP 2025.
2024.12: 🎉🎉One paper is accepted by AAAI 2025 (oral).
2024.12: 🎉🎉Created my own personal homepage.
Selected Publications 📑
- QP-SNN: Quantized and Pruned Spiking Neural Networks. ICLR 2025.
Wenjie Wei, Malu Zhang*, Zijian Zhou, Ammar Belatreche, Yimeng Shan, Yu Liang, Honglin Cao, Jieyuan Zhang, Yang Yang - Q-SNNs: Quantized Spiking Neural Networks. ACM MM 2024.
Wenjie Wei, Yu Liang, Ammar Belatreche, Yichen Xiao, Honglin Cao, Zhenbang Ren, Guoqing Wang, Malu Zhang*, Yang Yang - Event-driven learning for spiking neural networks. 2024, Under Review.
Wenjie Wei, Malu Zhang*, Jilin Zhang, Ammar Belatreche, Jibin Wu, Zijing Xu, Xuerui Qiu, Hong Chen, Yang Yang, Haizhou Li - Temporal-coded spiking neural networks with dynamic firing threshold: Learning with event-driven backpropagation. ICCV 2023.
Wenjie Wei, Malu Zhang*, Hong Qu, Ammar Belatreche, Jian Zhang, Hong Chen - Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism. AAAI 2025 (oral).
Yu Liang, Wenjie Wei, Ammar Belatreche, Honglin Cao, Zijian Zhou, Shuai Wang, Malu Zhang*, Yang Yang - Quantized Spike-driven Transformer. ICLR 2025.
Xuerui Qiu, Malu Zhang*, Jieyuan Zhang, Wenjie Wei, Honglin Cao, Junsheng Guo, Rui-jie Zhu, Yimeng Shan, Yang Yang, Haizhou Li
Academic Services 🛎️
- Reviewer for conferences and journals, including ICML 2025, ICLR 2025, IJCAI 2025, Neural Networks, IEEE TETCI, etc.
- Invited speaker at the IEEE CIS-RAM 2024 Young Scholars Workshop on “Event-Driven Learning for Spiking Neural Networks”. [Poster]